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( 逻辑回归(Logistic Regression), 聚类(Clustering), 线性回归(Linear Regression)…
- 逻辑回归(Logistic Regression)
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- 核心公式：(p = \frac{1}{1 + e^{-(wx + b)}})
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- 核心公式：(J = \sum{i=1}^{m}\sum{k=1}^{K}|x^{(i)} - \mu_k|^2)
- 层次聚类(Hierarchical Clustering)
- 关键特性：构建聚类树- 关联规则(Association Rules)
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- 核心公式：(y = wx + b, \min |\mathbf{w}|)
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- 核心公式：(Q(s,a) = Q(s,a) + \alpha [r + \gamma \max_{a'}Q(s',a') - Q(s,a)])
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